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The top 5 DevOps trends for 2020 are:

• Automation through Artificial Intelligence (AI)

• DevSecOps will become a Top Priority  in Security

• DevOps and Golang

• The Use of Serverless Architecture

• Cloud-native DevOps will gain prominence

Statistical highlights

• A 7% boost in DevOps adoption from 2017 to 2018 as cited in The article in  Hackernoon
• According to the estimates from IDC, the DevOps software market projects growth from  $2.9 billion in 2017 to $6.6 billion in 2022
• The DevOps market size will reach $12.85 billion by 2025 as stated by Grand View Research,
• DevOps will be a part of the mainstream and reach its peak in 2020.

DevOps is a combination of "Development" and "Operations" which underscores the significance of communication and collaboration between the developers and operations teams. The aim is to build an environment for developers, testers and operational personnel to engage seamlessly in creating products faster, and achieve the goals with quicker turnaround time.

Significant headway has been made in the evolution of DevOps among many enterprises in the past few years and will continue to be extensive. Many enterprises have started using DevOps solution, which has made significant inroads. 2020 will prove to be crucial as thought leaders and experts plan in the implementation of for DevOpsin the business process as the usage is expected to be both intense and extensive. Senior-level executives acknowledge that the DevOps role is growing to the point of proving to become a major disruption in how projects can be successfully completed and implemented.

Let's talke a look at the Top 5 DevOps Trends for 2020:

Automation through Artificial Intelligence (AI)

How does AI support DevOps implement?

Automation is fast becoming essential to DevOps, especially zero-touch automation.

So what is about zero-touch automation? It makes use of machine learning to automate the backup eliminating the need for human touch.  This again is made possible by Artificial Intelligence which processes huge data which could prove time-consuming if handled by a human.

Artificial Intelligence enhances DevOps processes through conventional monitoring activities.

Artificial Intelligence plays a key role in optimizing test cases. It helps to identify the test cases which are to be executed, thus reducing the total time to launch the application into production, eliminating the risks related to system stability.

DevOps automation becomes irreplaceable for creating builds efficiently without consuming much time. AI helps in the processing of the extensive amount of data and through analytical technologies detects patters in making the right predictions.  AI will help in automating the functional, acceptance and deployment testing to ensure the project releases are faster accelerating the time to market.

AI can help in identifying issues that may arise in continuous integration (CI) or continuous development (CD) enabling the DevOps teams to act upon swiftly based on the data collected.

DevSecOps Will Become Top Priority in Security

The emphasis placed on security will be the highest. With the advent of technology, not only has it becomes vast but increasingly complex and unpredictable. One of the top DevOps trends is definitely security and DevSecOps might sound strange and new term but it does create security awareness. In the year 2020 DevSecOps will become more prominent as it pushes the security-first approach integrating security measures in the DevOps process.

With the increasing and disturbing breaches especially in cybersecurity impacting the compact’s reputation and bottom line, data privacy regulations have been brought into force like PSD2 and GDPR, prioritizing on stepping up security is imperative and that’s where  DevSecOps proves to more than a buzzword. DevSecOps injects security into the process to resist and reduce the vulnerabilities. Faster code generation means more vulnerabilities and integrates security in DevOps through DevSecOps will keep the system flawless, effective and efficient.

DevOps and Golang

One of the main predication for DevOps is the flouring of DevOps and Golang. Golang is a programming language created by Google and its impact on the DevOps community is striking. An array of DevOps tools like Kubernetes, Helm, Docker, Etcd, and Istio among others are created using Golang is the programming language. The main reason for choosing Golang is its compilation into stand-alone binary. The development in Golang doesn’t require the setup of the entire environment and still gets the work done in a fast manner.

Golang as a language might be relatively new, but it aligns well with goals of DevOps like scalability, performance efficiency, portability and modularity in the application development process.

Some of the top brands like Uber, Twitter, Apple, Docker, YouTube, Dropbox use the Golang, which is a cloud-programming language. Golang syncs perfectly well with the DevOps ecosystem and fast becoming popular and preferred by the DevOps teams as the features offered in this language help in developing concurrent programs that are highly competitive to obtain the precise outcomes. Golang is the language to watch making it one of the top trends in DevOps 2020.

The Use Of Serverless Architecture

According to CBNINSIGHTS, The serverless market is expected to reach $7.7B by 2021, up from $1.9B in 2016. serverless computing is used by the DevOps team to simplify operations, scalability for development and the flexibility of the cost-effective model of pay-as-you-go pricing. the server-less architecture will take DevOps to the next level.  By serverless, it does not mean free from a server but it employs a cloud service, which is actually a third party that takes care of the entire architecture.  This arrangement makes it possible for the developers to concentrate on the “Application Part”. The two special features of the serverless architecture are FaaS and BaaS. The main advantage of using the Serverless Architecture is cutting down on cost, resilient workflow and time-saving. The future is expected to put into use this Serverless Architecture because of the developer's productivity, greater scalability, rapid deployment, and incredible user experience and more companies will use serverless computation in DevOps.

Cloud-native DevOps will gain prominence

Oracle predicts that 80 percent of all enterprise workloads will move to the cloud by 2025.

Experts predict that there will be a boom in the adoption of Kubernetes in 2020. This is because of features, easy integration with other cloud platforms and ease of use.

The DevOps latest trends in 2020 relate to Cloud-Native practices.

Presently AWS is clearly the market leader in cloud storage and computing followed by Azure and GCP.

There is a shift as  DevOps-minded teams are moving to the cloud arrangement to take advantage of improved visibility, resilient architecture and faster changes to production. This drives advanced transformation, innovation, and  compelling user experience.

Cloud architecture is into simple-to-operate services (PaaS, FaaS, and IaaS).  The scalable hardware makes it easy for the DevOps organization to make changes easily.  Faster software release is made possible with cloud automation.

Cloud-Native will become a primary necessity to make the optimum use of evolving DevOps technology. This gives businesses a competitive edge fast-tracking the time to market.  It fosters both innovation and technological advancement.

Therefore, cloud-native applications will witness a growth in 2020, which expectedly will increase cloud automation.

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